YData Profiling Report

Brought to you by YData

Dataset statistics

Number of variables	17
Number of observations	9996
Missing cells	0
Missing cells (%)	0.0%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	1.3 MiB
Average record size in memory	136.0 B

Variable types

Text	4
Categorical	6
Numeric	7

Alerts

`state` has constant value "WA"	Constant
`_2020_census_tract` is highly overall correlated with `county` and 1 other fields	High correlation
`cafv_type` is highly overall correlated with `electric_range` and 3 other fields	High correlation
`county` is highly overall correlated with `_2020_census_tract` and 3 other fields	High correlation
`dol_vehicle_id` is highly overall correlated with `model_year`	High correlation
`electric_range` is highly overall correlated with `cafv_type` and 2 other fields	High correlation
`electric_utility` is highly overall correlated with `_2020_census_tract` and 3 other fields	High correlation
`ev_type` is highly overall correlated with `cafv_type` and 2 other fields	High correlation
`legislative_district` is highly overall correlated with `county` and 1 other fields	High correlation
`make` is highly overall correlated with `cafv_type` and 1 other fields	High correlation
`model_year` is highly overall correlated with `cafv_type` and 2 other fields	High correlation
`zip_code` is highly overall correlated with `county` and 1 other fields	High correlation
`county` is highly imbalanced (64.0%)	Imbalance
`electric_utility` is highly imbalanced (54.0%)	Imbalance
`dol_vehicle_id` has unique values	Unique
`electric_range` has 5941 (59.4%) zeros	Zeros
`base_msrp` has 9875 (98.8%) zeros	Zeros

Reproduction

Analysis started	2025-08-08 01:09:16.066494
Analysis finished	2025-08-08 01:09:23.846638
Duration	7.78 seconds
Software version	ydata-profiling vv4.16.1
Download configuration	config.json

vin_1_10
Text

Distinct	4396
Distinct (%)	44.0%
Missing	0
Missing (%)	0.0%
Memory size	78.2 KiB

Length

Max length	10
Median length	10
Mean length	10
Min length	10

Characters and Unicode

Total characters	99960
Distinct characters	33
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	2663 ?
Unique (%)	26.6%

Sample

1st row	5YJSA1E65N
2nd row	KNDC3DLC5N
3rd row	5YJYGDEEXL
4th row	3C3CFFGE1G
5th row	KNDCC3LD5K

Value	Count	Frequency (%)
7saygdeexp	58	0.6%
7saygdee2p	54	0.5%
7saygdee9p	53	0.5%
7saygdee1p	53	0.5%
7saygdee3p	48	0.5%
7saygdee7p	47	0.5%
7saygdee0p	47	0.5%
7saygdee5p	43	0.4%
7saygdee6p	43	0.4%
7saygdee8p	42	0.4%
Other values (4386)	9508	95.1%

Most occurring characters

Value	Count	Frequency (%)
E	8825	8.8%
A	6656	6.7%
1	6291	6.3%
Y	5486	5.5%
J	4459	4.5%
D	4391	4.4%
3	4297	4.3%
S	4277	4.3%
5	4160	4.2%
G	4102	4.1%
Other values (23)	47016	47.0%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	99960	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
E	8825	8.8%
A	6656	6.7%
1	6291	6.3%
Y	5486	5.5%
J	4459	4.5%
D	4391	4.4%
3	4297	4.3%
S	4277	4.3%
5	4160	4.2%
G	4102	4.1%
Other values (23)	47016	47.0%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	99960	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
E	8825	8.8%
A	6656	6.7%
1	6291	6.3%
Y	5486	5.5%
J	4459	4.5%
D	4391	4.4%
3	4297	4.3%
S	4277	4.3%
5	4160	4.2%
G	4102	4.1%
Other values (23)	47016	47.0%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	99960	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
E	8825	8.8%
A	6656	6.7%
1	6291	6.3%
Y	5486	5.5%
J	4459	4.5%
D	4391	4.4%
3	4297	4.3%
S	4277	4.3%
5	4160	4.2%
G	4102	4.1%
Other values (23)	47016	47.0%

county
Categorical

High correlation Imbalance

Distinct	21
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	78.2 KiB

King	7219
Clark	1025
Kitsap	581
Snohomish	424
Thurston	308
Other values (16)	439

Length

Max length	11
Median length	4
Mean length	4.6854742
Min length	4

Characters and Unicode

Total characters	46836
Distinct characters	33
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	2 ?
Unique (%)	< 0.1%

Sample

1st row	Yakima
2nd row	Yakima
3rd row	Snohomish
4th row	Yakima
5th row	Kitsap

Common Values

Value	Count	Frequency (%)
King	7219	72.2%
Clark	1025	10.3%
Kitsap	581	5.8%
Snohomish	424	4.2%
Thurston	308	3.1%
Yakima	127	1.3%
Cowlitz	107	1.1%
Jefferson	85	0.9%
Island	54	0.5%
Whitman	12	0.1%
Other values (11)	54	0.5%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
king	7219	72.2%
clark	1025	10.2%
kitsap	581	5.8%
snohomish	424	4.2%
thurston	308	3.1%
yakima	127	1.3%
cowlitz	107	1.1%
jefferson	85	0.8%
island	54	0.5%
stevens	12	0.1%
Other values (11)	59	0.6%

Most occurring characters

Value	Count	Frequency (%)
i	8491	18.1%
n	8128	17.4%
K	7806	16.7%
g	7228	15.4%
a	1991	4.3%
s	1469	3.1%
r	1421	3.0%
o	1352	2.9%
l	1244	2.7%
h	1175	2.5%
Other values (23)	6531	13.9%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	46836	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
i	8491	18.1%
n	8128	17.4%
K	7806	16.7%
g	7228	15.4%
a	1991	4.3%
s	1469	3.1%
r	1421	3.0%
o	1352	2.9%
l	1244	2.7%
h	1175	2.5%
Other values (23)	6531	13.9%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	46836	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
i	8491	18.1%
n	8128	17.4%
K	7806	16.7%
g	7228	15.4%
a	1991	4.3%
s	1469	3.1%
r	1421	3.0%
o	1352	2.9%
l	1244	2.7%
h	1175	2.5%
Other values (23)	6531	13.9%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	46836	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
i	8491	18.1%
n	8128	17.4%
K	7806	16.7%
g	7228	15.4%
a	1991	4.3%
s	1469	3.1%
r	1421	3.0%
o	1352	2.9%
l	1244	2.7%
h	1175	2.5%
Other values (23)	6531	13.9%

city
Text

Distinct	131
Distinct (%)	1.3%
Missing	0
Missing (%)	0.0%
Memory size	78.2 KiB

Length

Max length	17
Median length	16
Mean length	7.8923569
Min length	3

Characters and Unicode

Total characters	78892
Distinct characters	49
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	28 ?
Unique (%)	0.3%

Sample

1st row	Granger
2nd row	Yakima
3rd row	Everett
4th row	Yakima
5th row	Bremerton

Value	Count	Frequency (%)
seattle	2138	19.8%
kirkland	1415	13.1%
bellevue	1153	10.7%
vancouver	812	7.5%
redmond	442	4.1%
kent	413	3.8%
renton	286	2.6%
island	236	2.2%
bothell	230	2.1%
bainbridge	227	2.1%
Other values (144)	3473	32.1%

Most occurring characters

Value	Count	Frequency (%)
e	12493	15.8%
l	8078	10.2%
a	7001	8.9%
t	6123	7.8%
n	5581	7.1%
r	4057	5.1%
d	3446	4.4%
i	3383	4.3%
o	3163	4.0%
u	2977	3.8%
Other values (39)	22590	28.6%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	78892	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
e	12493	15.8%
l	8078	10.2%
a	7001	8.9%
t	6123	7.8%
n	5581	7.1%
r	4057	5.1%
d	3446	4.4%
i	3383	4.3%
o	3163	4.0%
u	2977	3.8%
Other values (39)	22590	28.6%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	78892	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
e	12493	15.8%
l	8078	10.2%
a	7001	8.9%
t	6123	7.8%
n	5581	7.1%
r	4057	5.1%
d	3446	4.4%
i	3383	4.3%
o	3163	4.0%
u	2977	3.8%
Other values (39)	22590	28.6%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	78892	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
e	12493	15.8%
l	8078	10.2%
a	7001	8.9%
t	6123	7.8%
n	5581	7.1%
r	4057	5.1%
d	3446	4.4%
i	3383	4.3%
o	3163	4.0%
u	2977	3.8%
Other values (39)	22590	28.6%

state
Categorical

Constant

Distinct	1
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	78.2 KiB

WA	9996

Length

Max length	2
Median length	2
Mean length	2
Min length	2

Characters and Unicode

Total characters	19992
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	WA
2nd row	WA
3rd row	WA
4th row	WA
5th row	WA

Common Values

Value	Count	Frequency (%)
WA	9996	100.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
wa	9996	100.0%

Most occurring characters

Value	Count	Frequency (%)
W	9996	50.0%
A	9996	50.0%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	19992	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
W	9996	50.0%
A	9996	50.0%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	19992	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
W	9996	50.0%
A	9996	50.0%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	19992	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
W	9996	50.0%
A	9996	50.0%

zip_code
Real number (ℝ)

High correlation

Distinct	196
Distinct (%)	2.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	98184.26

Minimum	98001
Maximum	99362
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	78.2 KiB

Quantile statistics

Minimum	98001
5-th percentile	98004
Q1	98033
median	98103
Q3	98178
95-th percentile	98684.25
Maximum	99362
Range	1361
Interquartile range (IQR)	145

Descriptive statistics

Standard deviation	233.01822
Coefficient of variation (CV)	0.0023732747
Kurtosis	1.761378
Mean	98184.26
Median Absolute Deviation (MAD)	70
Skewness	1.6437925
Sum	9.8144986 × 10⁸
Variance	54297.491
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
98033	709	7.1%
98034	706	7.1%
98125	562	5.6%
98004	501	5.0%
98052	440	4.4%
98006	262	2.6%
98177	260	2.6%
98005	257	2.6%
98110	227	2.3%
98685	225	2.3%
Other values (186)	5847	58.5%

Value	Count	Frequency (%)
98001	19	0.2%
98002	57	0.6%
98003	24	0.2%
98004	501	5.0%
98005	257	2.6%
98006	262	2.6%
98007	88	0.9%
98008	68	0.7%
98011	165	1.7%
98012	55	0.6%

Value	Count	Frequency (%)
99362	5	0.1%
99349	1	< 0.1%
99223	1	< 0.1%
99203	1	< 0.1%
99181	1	< 0.1%
99163	11	0.1%
99161	1	< 0.1%
99114	1	< 0.1%
99026	10	0.1%
99013	1	< 0.1%

model_year
Real number (ℝ)

High correlation

Distinct	18
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2021.503

Minimum	2008
Maximum	2026
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	78.2 KiB

Quantile statistics

Minimum	2008
5-th percentile	2015
Q1	2020
median	2023
Q3	2024
95-th percentile	2025
Maximum	2026
Range	18
Interquartile range (IQR)	4

Descriptive statistics

Standard deviation	3.0597667
Coefficient of variation (CV)	0.0015136098
Kurtosis	0.72693454
Mean	2021.503
Median Absolute Deviation (MAD)	1
Skewness	-1.1552955
Sum	20206944
Variance	9.3621721
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=18)

Value	Count	Frequency (%)
2023	2309	23.1%
2024	1903	19.0%
2022	1141	11.4%
2025	879	8.8%
2021	862	8.6%
2018	627	6.3%
2020	550	5.5%
2019	456	4.6%
2017	317	3.2%
2016	255	2.6%
Other values (8)	697	7.0%

Value	Count	Frequency (%)
2008	2	< 0.1%
2010	1	< 0.1%
2011	19	0.2%
2012	57	0.6%
2013	167	1.7%
2014	157	1.6%
2015	215	2.2%
2016	255	2.6%
2017	317	3.2%
2018	627	6.3%

Value	Count	Frequency (%)
2026	79	0.8%
2025	879	8.8%
2024	1903	19.0%
2023	2309	23.1%
2022	1141	11.4%
2021	862	8.6%
2020	550	5.5%
2019	456	4.6%
2018	627	6.3%
2017	317	3.2%

make
Categorical

High correlation

Distinct	38
Distinct (%)	0.4%
Missing	0
Missing (%)	0.0%
Memory size	78.2 KiB

TESLA	4323
CHEVROLET	690
NISSAN	688
BMW	489
KIA	476
Other values (33)	3330

Length

Max length	13
Median length	10
Mean length	5.5453181
Min length	3

Characters and Unicode

Total characters	55431
Distinct characters	28
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	2 ?
Unique (%)	< 0.1%

Sample

1st row	TESLA
2nd row	KIA
3rd row	TESLA
4th row	FIAT
5th row	KIA

Common Values

Value	Count	Frequency (%)
TESLA	4323	43.2%
CHEVROLET	690	6.9%
NISSAN	688	6.9%
BMW	489	4.9%
KIA	476	4.8%
FORD	441	4.4%
TOYOTA	434	4.3%
HYUNDAI	357	3.6%
VOLVO	284	2.8%
RIVIAN	261	2.6%
Other values (28)	1553	15.5%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
tesla	4323	43.2%
chevrolet	690	6.9%
nissan	688	6.9%
bmw	489	4.9%
kia	476	4.8%
ford	441	4.4%
toyota	434	4.3%
hyundai	357	3.6%
volvo	284	2.8%
rivian	261	2.6%
Other values (30)	1573	15.7%

Most occurring characters

Value	Count	Frequency (%)
A	7514	13.6%
E	7185	13.0%
S	6543	11.8%
T	6018	10.9%
L	5908	10.7%
O	3075	5.5%
I	2586	4.7%
N	2559	4.6%
R	2020	3.6%
V	1776	3.2%
Other values (18)	10247	18.5%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	55431	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
A	7514	13.6%
E	7185	13.0%
S	6543	11.8%
T	6018	10.9%
L	5908	10.7%
O	3075	5.5%
I	2586	4.7%
N	2559	4.6%
R	2020	3.6%
V	1776	3.2%
Other values (18)	10247	18.5%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	55431	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
A	7514	13.6%
E	7185	13.0%
S	6543	11.8%
T	6018	10.9%
L	5908	10.7%
O	3075	5.5%
I	2586	4.7%
N	2559	4.6%
R	2020	3.6%
V	1776	3.2%
Other values (18)	10247	18.5%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	55431	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
A	7514	13.6%
E	7185	13.0%
S	6543	11.8%
T	6018	10.9%
L	5908	10.7%
O	3075	5.5%
I	2586	4.7%
N	2559	4.6%
R	2020	3.6%
V	1776	3.2%
Other values (18)	10247	18.5%

model
Text

Distinct	142
Distinct (%)	1.4%
Missing	0
Missing (%)	0.0%
Memory size	78.2 KiB

Length

Max length	21
Median length	7
Mean length	6.5136054
Min length	2

Characters and Unicode

Total characters	65110
Distinct characters	40
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	15 ?
Unique (%)	0.2%

Sample

1st row	MODEL S
2nd row	EV6
3rd row	MODEL Y
4th row	500
5th row	NIRO

Value	Count	Frequency (%)
model	4278	26.7%
y	2154	13.5%
3	1505	9.4%
leaf	600	3.8%
bolt	413	2.6%
prime	321	2.0%
phev	321	2.0%
s	316	2.0%
x	305	1.9%
ev	301	1.9%
Other values (141)	5480	34.3%

Most occurring characters

Value	Count	Frequency (%)
E	7541	11.6%
O	6131	9.4%
L	6105	9.4%
	5998	9.2%
M	5078	7.8%
D	4629	7.1%
A	2643	4.1%
Y	2452	3.8%
R	2403	3.7%
I	2247	3.5%
Other values (30)	19883	30.5%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	65110	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
E	7541	11.6%
O	6131	9.4%
L	6105	9.4%
	5998	9.2%
M	5078	7.8%
D	4629	7.1%
A	2643	4.1%
Y	2452	3.8%
R	2403	3.7%
I	2247	3.5%
Other values (30)	19883	30.5%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	65110	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
E	7541	11.6%
O	6131	9.4%
L	6105	9.4%
	5998	9.2%
M	5078	7.8%
D	4629	7.1%
A	2643	4.1%
Y	2452	3.8%
R	2403	3.7%
I	2247	3.5%
Other values (30)	19883	30.5%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	65110	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
E	7541	11.6%
O	6131	9.4%
L	6105	9.4%
	5998	9.2%
M	5078	7.8%
D	4629	7.1%
A	2643	4.1%
Y	2452	3.8%
R	2403	3.7%
I	2247	3.5%
Other values (30)	19883	30.5%

ev_type
Categorical

High correlation

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	78.2 KiB

Battery Electric Vehicle (BEV)	8025
Plug-in Hybrid Electric Vehicle (PHEV)	1971

Length

Max length	38
Median length	30
Mean length	31.577431
Min length	30

Characters and Unicode

Total characters	315648
Distinct characters	23
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Battery Electric Vehicle (BEV)
2nd row	Battery Electric Vehicle (BEV)
3rd row	Battery Electric Vehicle (BEV)
4th row	Battery Electric Vehicle (BEV)
5th row	Plug-in Hybrid Electric Vehicle (PHEV)

Common Values

Value	Count	Frequency (%)
Battery Electric Vehicle (BEV)	8025	80.3%
Plug-in Hybrid Electric Vehicle (PHEV)	1971	19.7%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
electric	9996	23.8%
vehicle	9996	23.8%
battery	8025	19.1%
bev	8025	19.1%
plug-in	1971	4.7%
hybrid	1971	4.7%
phev	1971	4.7%

Most occurring characters

Value	Count	Frequency (%)
e	38013	12.0%
	31959	10.1%
c	29988	9.5%
t	26046	8.3%
i	23934	7.6%
l	21963	7.0%
V	19992	6.3%
r	19992	6.3%
E	19992	6.3%
B	16050	5.1%
Other values (13)	67719	21.5%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	315648	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
e	38013	12.0%
	31959	10.1%
c	29988	9.5%
t	26046	8.3%
i	23934	7.6%
l	21963	7.0%
V	19992	6.3%
r	19992	6.3%
E	19992	6.3%
B	16050	5.1%
Other values (13)	67719	21.5%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	315648	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
e	38013	12.0%
	31959	10.1%
c	29988	9.5%
t	26046	8.3%
i	23934	7.6%
l	21963	7.0%
V	19992	6.3%
r	19992	6.3%
E	19992	6.3%
B	16050	5.1%
Other values (13)	67719	21.5%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	315648	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
e	38013	12.0%
	31959	10.1%
c	29988	9.5%
t	26046	8.3%
i	23934	7.6%
l	21963	7.0%
V	19992	6.3%
r	19992	6.3%
E	19992	6.3%
B	16050	5.1%
Other values (13)	67719	21.5%

cafv_type
Categorical

High correlation

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	78.2 KiB

Eligibility unknown as battery range has not been researched	5941
Clean Alternative Fuel Vehicle Eligible	3163
Not eligible due to low battery range	892

Length

Max length	60
Median length	60
Mean length	51.302621
Min length	37

Characters and Unicode

Total characters	512821
Distinct characters	26
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Eligibility unknown as battery range has not been researched
2nd row	Eligibility unknown as battery range has not been researched
3rd row	Clean Alternative Fuel Vehicle Eligible
4th row	Clean Alternative Fuel Vehicle Eligible
5th row	Not eligible due to low battery range

Common Values

Value	Count	Frequency (%)
Eligibility unknown as battery range has not been researched	5941	59.4%
Clean Alternative Fuel Vehicle Eligible	3163	31.6%
Not eligible due to low battery range	892	8.9%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
not	6833	9.0%
battery	6833	9.0%
range	6833	9.0%
eligibility	5941	7.9%
unknown	5941	7.9%
been	5941	7.9%
researched	5941	7.9%
has	5941	7.9%
as	5941	7.9%
eligible	4055	5.4%
Other values (7)	15328	20.3%

Most occurring characters

Value	Count	Frequency (%)
e	68188	13.3%
	65532	12.8%
n	42864	8.4%
i	38200	7.4%
a	37815	7.4%
t	33658	6.6%
l	33536	6.5%
r	28711	5.6%
b	22770	4.4%
s	17823	3.5%
Other values (16)	123724	24.1%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	512821	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
e	68188	13.3%
	65532	12.8%
n	42864	8.4%
i	38200	7.4%
a	37815	7.4%
t	33658	6.6%
l	33536	6.5%
r	28711	5.6%
b	22770	4.4%
s	17823	3.5%
Other values (16)	123724	24.1%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	512821	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
e	68188	13.3%
	65532	12.8%
n	42864	8.4%
i	38200	7.4%
a	37815	7.4%
t	33658	6.6%
l	33536	6.5%
r	28711	5.6%
b	22770	4.4%
s	17823	3.5%
Other values (16)	123724	24.1%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	512821	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
e	68188	13.3%
	65532	12.8%
n	42864	8.4%
i	38200	7.4%
a	37815	7.4%
t	33658	6.6%
l	33536	6.5%
r	28711	5.6%
b	22770	4.4%
s	17823	3.5%
Other values (16)	123724	24.1%

electric_range
Real number (ℝ)

High correlation Zeros

Distinct	101
Distinct (%)	1.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	47.160464

Minimum	0
Maximum	337
Zeros	5941
Zeros (%)	59.4%
Negative	0
Negative (%)	0.0%
Memory size	78.2 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	40
95-th percentile	239
Maximum	337
Range	337
Interquartile range (IQR)	40

Descriptive statistics

Standard deviation	84.665505
Coefficient of variation (CV)	1.7952645
Kurtosis	1.8548695
Mean	47.160464
Median Absolute Deviation (MAD)	0
Skewness	1.8072987
Sum	471416
Variance	7168.2478
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	5941	59.4%
215	305	3.1%
84	201	2.0%
25	173	1.7%
238	172	1.7%
42	172	1.7%
220	158	1.6%
32	145	1.5%
21	139	1.4%
19	103	1.0%
Other values (91)	2487	24.9%

Value	Count	Frequency (%)
0	5941	59.4%
1	1	< 0.1%
6	48	0.5%
8	3	< 0.1%
10	5	0.1%
12	6	0.1%
13	21	0.2%
14	33	0.3%
15	3	< 0.1%
16	27	0.3%

Value	Count	Frequency (%)
337	1	< 0.1%
330	17	0.2%
322	81	0.8%
308	14	0.1%
293	24	0.2%
291	81	0.8%
289	30	0.3%
288	2	< 0.1%
270	12	0.1%
266	74	0.7%

base_msrp
Real number (ℝ)

Zeros

Distinct	22
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	715.2586

Minimum	0
Maximum	184400
Zeros	9875
Zeros (%)	98.8%
Negative	0
Negative (%)	0.0%
Memory size	78.2 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	0
Maximum	184400
Range	184400
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	6819.8221
Coefficient of variation (CV)	9.5347642
Kurtosis	139.53512
Mean	715.2586
Median Absolute Deviation (MAD)	0
Skewness	10.800979
Sum	7149725
Variance	46509974
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=22)

Value	Count	Frequency (%)
0	9875	98.8%
69900	52	0.5%
31950	13	0.1%
52900	10	0.1%
64950	7	0.1%
36900	4	< 0.1%
54950	4	< 0.1%
44100	4	< 0.1%
34995	3	< 0.1%
45600	3	< 0.1%
Other values (12)	21	0.2%

Value	Count	Frequency (%)
0	9875	98.8%
31950	13	0.1%
32250	2	< 0.1%
33950	1	< 0.1%
34995	3	< 0.1%
36800	2	< 0.1%
36900	4	< 0.1%
39995	2	< 0.1%
44100	4	< 0.1%
45600	3	< 0.1%

Value	Count	Frequency (%)
184400	1	< 0.1%
110950	1	< 0.1%
98950	2	< 0.1%
81100	1	< 0.1%
69900	52	0.5%
64950	7	0.1%
59900	3	< 0.1%
55700	2	< 0.1%
54950	4	< 0.1%
53400	3	< 0.1%

legislative_district
Real number (ℝ)

High correlation

Distinct	42
Distinct (%)	0.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	34.237395

Minimum	1
Maximum	49
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	78.2 KiB

Quantile statistics

Minimum	1
5-th percentile	2
Q1	23
median	41
Q3	46
95-th percentile	48
Maximum	49
Range	48
Interquartile range (IQR)	23

Descriptive statistics

Standard deviation	14.151434
Coefficient of variation (CV)	0.41333269
Kurtosis	-0.40016752
Mean	34.237395
Median Absolute Deviation (MAD)	7
Skewness	-0.90622466
Sum	342237
Variance	200.2631
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=42)

Value	Count	Frequency (%)
45	1287	12.9%
48	1076	10.8%
41	894	8.9%
46	709	7.1%
47	509	5.1%
43	472	4.7%
1	451	4.5%
23	423	4.2%
17	416	4.2%
18	379	3.8%
Other values (32)	3380	33.8%

Value	Count	Frequency (%)
1	451	4.5%
2	69	0.7%
3	1	< 0.1%
5	117	1.2%
6	1	< 0.1%
7	12	0.1%
9	12	0.1%
10	62	0.6%
11	302	3.0%
12	8	0.1%

Value	Count	Frequency (%)
49	218	2.2%
48	1076	10.8%
47	509	5.1%
46	709	7.1%
45	1287	12.9%
44	148	1.5%
43	472	4.7%
41	894	8.9%
40	5	0.1%
39	55	0.6%

dol_vehicle_id
Real number (ℝ)

High correlation Unique

Distinct	9996
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2.3716222 × 10⁸

Minimum	110057
Maximum	4.7861185 × 10⁸
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	78.2 KiB

Quantile statistics

Minimum	110057
5-th percentile	1.1809841 × 10⁸
Q1	2.0706428 × 10⁸
median	2.5548821 × 10⁸
Q3	2.7280564 × 10⁸
95-th percentile	2.8963993 × 10⁸
Maximum	4.7861185 × 10⁸
Range	4.7850179 × 10⁸
Interquartile range (IQR)	65741359

Descriptive statistics

Standard deviation	69513436
Coefficient of variation (CV)	0.29310502
Kurtosis	3.6719682
Mean	2.3716222 × 10⁸
Median Absolute Deviation (MAD)	22751740
Skewness	-0.11830138
Sum	2.3706735 × 10¹²
Variance	4.8321178 × 10¹⁵
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
187279214	1	< 0.1%
239664645	1	< 0.1%
275495265	1	< 0.1%
272873387	1	< 0.1%
272075401	1	< 0.1%
258794434	1	< 0.1%
180607479	1	< 0.1%
251223143	1	< 0.1%
6113390	1	< 0.1%
257937753	1	< 0.1%
Other values (9986)	9986	99.9%

Value	Count	Frequency (%)
110057	1	< 0.1%
204795	1	< 0.1%
397141	1	< 0.1%
1465033	1	< 0.1%
1495133	1	< 0.1%
1562389	1	< 0.1%
1663686	1	< 0.1%
1697706	1	< 0.1%
1720295	1	< 0.1%
1730781	1	< 0.1%

Value	Count	Frequency (%)
478611850	1	< 0.1%
478553316	1	< 0.1%
478493809	1	< 0.1%
478465123	1	< 0.1%
478437018	1	< 0.1%
478429360	1	< 0.1%
478424999	1	< 0.1%
478417159	1	< 0.1%
478337415	1	< 0.1%
478296605	1	< 0.1%

geocoded_column
Text

Distinct	196
Distinct (%)	2.0%
Missing	0
Missing (%)	0.0%
Memory size	78.2 KiB

Length

Max length	56
Median length	56
Mean length	55.660464
Min length	54

Characters and Unicode

Total characters	556382
Distinct characters	33
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	30 ?
Unique (%)	0.3%

Sample

1st row	{'type': 'Point', 'coordinates': [-120.1871, 46.33949]}
2nd row	{'type': 'Point', 'coordinates': [-120.52041, 46.59751]}
3rd row	{'type': 'Point', 'coordinates': [-122.18637, 47.89251]}
4th row	{'type': 'Point', 'coordinates': [-120.60199, 46.59817]}
5th row	{'type': 'Point', 'coordinates': [-122.65223, 47.57192]}

Value	Count	Frequency (%)
type	9996	20.0%
coordinates	9996	20.0%
point	9996	20.0%
122.2066	709	1.4%
47.67887	709	1.4%
122.22901	706	1.4%
47.72201	706	1.4%
122.30253	562	1.1%
47.72656	562	1.1%
122.1872	501	1.0%
Other values (385)	15537	31.1%

Most occurring characters

Value	Count	Frequency (%)
'	59976	10.8%
	39984	7.2%
2	31124	5.6%
o	29988	5.4%
t	29988	5.4%
1	22142	4.0%
:	19992	3.6%
e	19992	3.6%
i	19992	3.6%
n	19992	3.6%
Other values (23)	263212	47.3%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	556382	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
'	59976	10.8%
	39984	7.2%
2	31124	5.6%
o	29988	5.4%
t	29988	5.4%
1	22142	4.0%
:	19992	3.6%
e	19992	3.6%
i	19992	3.6%
n	19992	3.6%
Other values (23)	263212	47.3%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	556382	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
'	59976	10.8%
	39984	7.2%
2	31124	5.6%
o	29988	5.4%
t	29988	5.4%
1	22142	4.0%
:	19992	3.6%
e	19992	3.6%
i	19992	3.6%
n	19992	3.6%
Other values (23)	263212	47.3%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	556382	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
'	59976	10.8%
	39984	7.2%
2	31124	5.6%
o	29988	5.4%
t	29988	5.4%
1	22142	4.0%
:	19992	3.6%
e	19992	3.6%
i	19992	3.6%
n	19992	3.6%
Other values (23)	263212	47.3%

electric_utility
Categorical

High correlation Imbalance

Distinct	21
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	78.2 KiB

PUGET SOUND ENERGY INC\|\|CITY OF TACOMA - (WA)	4803
CITY OF SEATTLE - (WA)\|CITY OF TACOMA - (WA)	2415
PUGET SOUND ENERGY INC	1363
BONNEVILLE POWER ADMINISTRATION\|\|PUD NO 1 OF CLARK COUNTY - (WA)	1019
PACIFICORP	124
Other values (16)	272

Length

Max length	86
Median length	85
Mean length	43.593337
Min length	10

Characters and Unicode

Total characters	435759
Distinct characters	31
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	2 ?
Unique (%)	< 0.1%

Sample

1st row	PACIFICORP
2nd row	PACIFICORP
3rd row	PUGET SOUND ENERGY INC
4th row	PACIFICORP
5th row	PUGET SOUND ENERGY INC

Common Values

Value	Count	Frequency (%)
PUGET SOUND ENERGY INC\|\|CITY OF TACOMA - (WA)	4803	48.0%
CITY OF SEATTLE - (WA)\|CITY OF TACOMA - (WA)	2415	24.2%
PUGET SOUND ENERGY INC	1363	13.6%
BONNEVILLE POWER ADMINISTRATION\|\|PUD NO 1 OF CLARK COUNTY - (WA)	1019	10.2%
PACIFICORP	124	1.2%
BONNEVILLE POWER ADMINISTRATION\|\|PUD NO 1 OF COWLITZ COUNTY	107	1.1%
BONNEVILLE POWER ADMINISTRATION\|\|PUGET SOUND ENERGY INC\|\|PUD NO 1 OF JEFFERSON COUNTY	81	0.8%
AVISTA CORP	15	0.2%
BONNEVILLE POWER ADMINISTRATION\|\|PUD 1 OF SNOHOMISH COUNTY	14	0.1%
NO KNOWN ELECTRIC UTILITY SERVICE	13	0.1%
Other values (11)	42	0.4%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
of	10890	13.9%
	10663	13.6%
wa	8248	10.5%
tacoma	7219	9.2%
energy	6247	8.0%
sound	6247	8.0%
puget	6166	7.9%
inc\|\|city	4803	6.1%
city	2416	3.1%
seattle	2415	3.1%
Other values (40)	12870	16.5%

Most occurring characters

Value	Count	Frequency (%)
	68188	15.6%
T	31876	7.3%
A	31256	7.2%
O	31013	7.1%
E	27587	6.3%
N	26411	6.1%
C	25853	5.9%
I	21359	4.9%
Y	17152	3.9%
U	15020	3.4%
Other values (21)	140044	32.1%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	435759	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
	68188	15.6%
T	31876	7.3%
A	31256	7.2%
O	31013	7.1%
E	27587	6.3%
N	26411	6.1%
C	25853	5.9%
I	21359	4.9%
Y	17152	3.9%
U	15020	3.4%
Other values (21)	140044	32.1%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	435759	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
	68188	15.6%
T	31876	7.3%
A	31256	7.2%
O	31013	7.1%
E	27587	6.3%
N	26411	6.1%
C	25853	5.9%
I	21359	4.9%
Y	17152	3.9%
U	15020	3.4%
Other values (21)	140044	32.1%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	435759	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
	68188	15.6%
T	31876	7.3%
A	31256	7.2%
O	31013	7.1%
E	27587	6.3%
N	26411	6.1%
C	25853	5.9%
I	21359	4.9%
Y	17152	3.9%
U	15020	3.4%
Other values (21)	140044	32.1%

_2020_census_tract
Real number (ℝ)

High correlation

Distinct	743
Distinct (%)	7.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	5.3033562 × 10¹⁰

Minimum	5.300796 × 10¹⁰
Maximum	5.307794 × 10¹⁰
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	78.2 KiB

Quantile statistics

Minimum	5.300796 × 10¹⁰
5-th percentile	5.3011041 × 10¹⁰
Q1	5.3033005 × 10¹⁰
median	5.3033023 × 10¹⁰
Q3	5.303303 × 10¹⁰
95-th percentile	5.3061053 × 10¹⁰
Maximum	5.307794 × 10¹⁰
Range	69979807
Interquartile range (IQR)	24701

Descriptive statistics

Standard deviation	12350003
Coefficient of variation (CV)	0.00023287146
Kurtosis	3.1507729
Mean	5.3033562 × 10¹⁰
Median Absolute Deviation (MAD)	9721
Skewness	1.0552974
Sum	5.3012348 × 10¹⁴
Variance	1.5252257 × 10¹⁴
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
5.303303232 × 10¹⁰	158	1.6%
5.303303232 × 10¹⁰	154	1.5%
5.30330226 × 10¹⁰	136	1.4%
5.3033024 × 10¹⁰	124	1.2%
5.30330225 × 10¹⁰	121	1.2%
5.30330219 × 10¹⁰	115	1.2%
5.30330222 × 10¹⁰	108	1.1%
5.30330219 × 10¹⁰	103	1.0%
5.30330005 × 10¹⁰	102	1.0%
5.30350907 × 10¹⁰	90	0.9%
Other values (733)	8785	87.9%

Value	Count	Frequency (%)
5.30079602 × 10¹⁰	2	< 0.1%
5.30079602 × 10¹⁰	2	< 0.1%
5.30079607 × 10¹⁰	1	< 0.1%
5.30079608 × 10¹⁰	2	< 0.1%
5.30090008 × 10¹⁰	1	< 0.1%
5.30090009 × 10¹⁰	1	< 0.1%
5.30090012 × 10¹⁰	2	< 0.1%
5.30090014 × 10¹⁰	2	< 0.1%
5.30090019 × 10¹⁰	1	< 0.1%
5.3009002 × 10¹⁰	1	< 0.1%

Value	Count	Frequency (%)
5.307794001 × 10¹⁰	2	< 0.1%
5.307794001 × 10¹⁰	3	< 0.1%
5.307794 × 10¹⁰	3	< 0.1%
5.307794 × 10¹⁰	1	< 0.1%
5.30770034 × 10¹⁰	2	< 0.1%
5.30770032 × 10¹⁰	10	0.1%
5.3077003 × 10¹⁰	1	< 0.1%
5.3077003 × 10¹⁰	1	< 0.1%
5.30770029 × 10¹⁰	3	< 0.1%
5.30770028 × 10¹⁰	9	0.1%

	_2020_census_tract	base_msrp	cafv_type	county	dol_vehicle_id	electric_range	electric_utility	ev_type	legislative_district	make	model_year	zip_code
_2020_census_tract	1.000	0.002	0.035	0.999	-0.013	-0.019	0.782	0.045	-0.040	0.046	0.027	-0.289
base_msrp	0.002	1.000	0.145	0.000	-0.052	0.117	0.000	0.114	-0.007	0.101	-0.160	0.007
cafv_type	0.035	0.145	1.000	0.076	0.351	0.654	0.084	0.742	0.063	0.552	0.549	0.064
county	0.999	0.000	0.076	1.000	0.035	0.052	0.790	0.079	0.566	0.035	0.095	0.824
dol_vehicle_id	-0.013	-0.052	0.351	0.035	1.000	-0.192	0.034	0.083	0.025	0.110	0.512	-0.022
electric_range	-0.019	0.117	0.654	0.052	-0.192	1.000	0.053	0.569	-0.048	0.348	-0.631	0.082
electric_utility	0.782	0.000	0.084	0.790	0.034	0.053	1.000	0.092	0.509	0.048	0.094	0.703
ev_type	0.045	0.114	0.742	0.079	0.083	0.569	0.092	1.000	0.072	0.727	0.172	0.065
legislative_district	-0.040	-0.007	0.063	0.566	0.025	-0.048	0.509	0.072	1.000	0.068	0.049	-0.412
make	0.046	0.101	0.552	0.035	0.110	0.348	0.048	0.727	0.068	1.000	0.215	0.063
model_year	0.027	-0.160	0.549	0.095	0.512	-0.631	0.094	0.172	0.049	0.215	1.000	-0.085
zip_code	-0.289	0.007	0.064	0.824	-0.022	0.082	0.703	0.065	-0.412	0.063	-0.085	1.000

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

	vin_1_10	county	city	state	zip_code	model_year	make	model	ev_type	cafv_type	electric_range	legislative_district	dol_vehicle_id	geocoded_column	electric_utility	_2020_census_tract
0	5YJSA1E65N	Yakima	Granger	WA	98932.0	2022	TESLA	MODEL S	Battery Electric Vehicle (BEV)	Eligibility unknown as battery range has not been researched	0	15.0	187279214	{'type': 'Point', 'coordinates': [-120.1871, 46.33949]}	PACIFICORP	5.307700e+10
1	KNDC3DLC5N	Yakima	Yakima	WA	98902.0	2022	KIA	EV6	Battery Electric Vehicle (BEV)	Eligibility unknown as battery range has not been researched	0	15.0	210098241	{'type': 'Point', 'coordinates': [-120.52041, 46.59751]}	PACIFICORP	5.307700e+10
2	5YJYGDEEXL	Snohomish	Everett	WA	98208.0	2020	TESLA	MODEL Y	Battery Electric Vehicle (BEV)	Clean Alternative Fuel Vehicle Eligible	291	44.0	121781950	{'type': 'Point', 'coordinates': [-122.18637, 47.89251]}	PUGET SOUND ENERGY INC	5.306104e+10
3	3C3CFFGE1G	Yakima	Yakima	WA	98908.0	2016	FIAT	500	Battery Electric Vehicle (BEV)	Clean Alternative Fuel Vehicle Eligible	84	14.0	180778377	{'type': 'Point', 'coordinates': [-120.60199, 46.59817]}	PACIFICORP	5.307700e+10
4	KNDCC3LD5K	Kitsap	Bremerton	WA	98312.0	2019	KIA	NIRO	Plug-in Hybrid Electric Vehicle (PHEV)	Not eligible due to low battery range	26	26.0	2581225	{'type': 'Point', 'coordinates': [-122.65223, 47.57192]}	PUGET SOUND ENERGY INC	5.303508e+10
5	5YJXCAE29L	Kitsap	Silverdale	WA	98383.0	2020	TESLA	MODEL X	Battery Electric Vehicle (BEV)	Clean Alternative Fuel Vehicle Eligible	293	23.0	1843054	{'type': 'Point', 'coordinates': [-122.69275, 47.65171]}	PUGET SOUND ENERGY INC	5.303509e+10
6	5YJ3E1EB6L	King	Kent	WA	98030.0	2020	TESLA	MODEL 3	Battery Electric Vehicle (BEV)	Clean Alternative Fuel Vehicle Eligible	322	47.0	182822020	{'type': 'Point', 'coordinates': [-122.19975, 47.37483]}	PUGET SOUND ENERGY INC\|\|CITY OF TACOMA - (WA)	5.303303e+10
7	JTDKN3DP9F	Kitsap	Bainbridge Island	WA	98110.0	2015	TOYOTA	PRIUS	Plug-in Hybrid Electric Vehicle (PHEV)	Not eligible due to low battery range	6	23.0	177904170	{'type': 'Point', 'coordinates': [-122.521, 47.62732]}	PUGET SOUND ENERGY INC	5.303509e+10
8	1G1FY6S07L	Kitsap	Port Orchard	WA	98367.0	2020	CHEVROLET	BOLT EV	Battery Electric Vehicle (BEV)	Clean Alternative Fuel Vehicle Eligible	259	26.0	132558002	{'type': 'Point', 'coordinates': [-122.68471, 47.50524]}	PUGET SOUND ENERGY INC	5.303509e+10
9	1G1RD6S55K	Yakima	Yakima	WA	98908.0	2019	CHEVROLET	VOLT	Plug-in Hybrid Electric Vehicle (PHEV)	Clean Alternative Fuel Vehicle Eligible	53	14.0	474853417	{'type': 'Point', 'coordinates': [-120.60199, 46.59817]}	PACIFICORP	5.307700e+10

	vin_1_10	county	city	state	zip_code	model_year	make	model	ev_type	cafv_type	electric_range	legislative_district	dol_vehicle_id	geocoded_column	electric_utility	_2020_census_tract
9986	7SAYGDEE8R	King	Bellevue	WA	98006.0	2024	TESLA	MODEL Y	Battery Electric Vehicle (BEV)	Eligibility unknown as battery range has not been researched	0	41.0	272236009	{'type': 'Point', 'coordinates': [-122.12096, 47.55584]}	PUGET SOUND ENERGY INC\|\|CITY OF TACOMA - (WA)	5.303302e+10
9987	5YJ3E1EA3P	King	Medina	WA	98039.0	2023	TESLA	MODEL 3	Battery Electric Vehicle (BEV)	Eligibility unknown as battery range has not been researched	0	48.0	272958325	{'type': 'Point', 'coordinates': [-122.23892, 47.61613]}	PUGET SOUND ENERGY INC\|\|CITY OF TACOMA - (WA)	5.303302e+10
9988	WBY73AW08P	King	Seattle	WA	98107.0	2023	BMW	I4	Battery Electric Vehicle (BEV)	Eligibility unknown as battery range has not been researched	0	43.0	245574395	{'type': 'Point', 'coordinates': [-122.38591, 47.67597]}	CITY OF SEATTLE - (WA)\|CITY OF TACOMA - (WA)	5.303300e+10
9989	YV4BR0CL5L	King	Bellevue	WA	98005.0	2020	VOLVO	XC90	Plug-in Hybrid Electric Vehicle (PHEV)	Not eligible due to low battery range	18	48.0	321092600	{'type': 'Point', 'coordinates': [-122.1621, 47.64441]}	PUGET SOUND ENERGY INC\|\|CITY OF TACOMA - (WA)	5.303302e+10
9990	7SAYGDED5R	King	Kent	WA	98031.0	2024	TESLA	MODEL Y	Battery Electric Vehicle (BEV)	Eligibility unknown as battery range has not been researched	0	47.0	269115493	{'type': 'Point', 'coordinates': [-122.17743, 47.41185]}	PUGET SOUND ENERGY INC\|\|CITY OF TACOMA - (WA)	5.303303e+10
9991	3FMTK4SE9M	King	Sammamish	WA	98074.0	2021	FORD	MUSTANG MACH-E	Battery Electric Vehicle (BEV)	Eligibility unknown as battery range has not been researched	0	45.0	276979587	{'type': 'Point', 'coordinates': [-122.02054, 47.60326]}	PUGET SOUND ENERGY INC\|\|CITY OF TACOMA - (WA)	5.303303e+10
9992	1N4AZ0CP1E	King	Newcastle	WA	98059.0	2014	NISSAN	LEAF	Battery Electric Vehicle (BEV)	Clean Alternative Fuel Vehicle Eligible	84	41.0	130630342	{'type': 'Point', 'coordinates': [-122.15716, 47.48852]}	PUGET SOUND ENERGY INC\|\|CITY OF TACOMA - (WA)	5.303303e+10
9993	7SAYGDEE9N	King	Renton	WA	98056.0	2022	TESLA	MODEL Y	Battery Electric Vehicle (BEV)	Eligibility unknown as battery range has not been researched	0	11.0	204703047	{'type': 'Point', 'coordinates': [-122.1805, 47.50006]}	PUGET SOUND ENERGY INC\|\|CITY OF TACOMA - (WA)	5.303303e+10
9994	5YJ3E1EB6R	Clark	Vancouver	WA	98662.0	2024	TESLA	MODEL 3	Battery Electric Vehicle (BEV)	Eligibility unknown as battery range has not been researched	0	17.0	269514556	{'type': 'Point', 'coordinates': [-122.57722, 45.64251]}	BONNEVILLE POWER ADMINISTRATION\|\|PUD NO 1 OF CLARK COUNTY - (WA)	5.301104e+10
9995	7SAYGDEF9N	King	Bellevue	WA	98008.0	2022	TESLA	MODEL Y	Battery Electric Vehicle (BEV)	Eligibility unknown as battery range has not been researched	0	48.0	212097700	{'type': 'Point', 'coordinates': [-122.11867, 47.63131]}	PUGET SOUND ENERGY INC\|\|CITY OF TACOMA - (WA)	5.303302e+10

Overview

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Common Values

Length

Common Values (Plot)

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(unknown)

Most occurring scripts

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Most occurring blocks